| Literature DB >> 27453470 |
M Gordon Joyce1, Adam K Wheatley1, Paul V Thomas1, Gwo-Yu Chuang1, Cinque Soto1, Robert T Bailer1, Aliaksandr Druz1, Ivelin S Georgiev2, Rebecca A Gillespie1, Masaru Kanekiyo1, Wing-Pui Kong1, Kwanyee Leung1, Sandeep N Narpala1, Madhu S Prabhakaran1, Eun Sung Yang1, Baoshan Zhang1, Yi Zhang1, Mangaiarkarasi Asokan1, Jeffrey C Boyington1, Tatsiana Bylund1, Sam Darko1, Christopher R Lees1, Amy Ransier1, Chen-Hsiang Shen1, Lingshu Wang1, James R Whittle1, Xueling Wu1, Hadi M Yassine1, Celia Santos3, Yumiko Matsuoka4, Yaroslav Tsybovsky5, Ulrich Baxa5, James C Mullikin6, Kanta Subbarao4, Daniel C Douek1, Barney S Graham1, Richard A Koup1, Julie E Ledgerwood1, Mario Roederer1, Lawrence Shapiro7, Peter D Kwong8, John R Mascola9, Adrian B McDermott10.
Abstract
Antibodies capable of neutralizing divergent influenza A viruses could form the basis of a universal vaccine. Here, from subjects enrolled in an H5N1 DNA/MIV-prime-boost influenza vaccine trial, we sorted hemagglutinin cross-reactive memory B cells and identified three antibody classes, each capable of neutralizing diverse subtypes of group 1 and group 2 influenza A viruses. Co-crystal structures with hemagglutinin revealed that each class utilized characteristic germline genes and convergent sequence motifs to recognize overlapping epitopes in the hemagglutinin stem. All six analyzed subjects had sequences from at least one multidonor class, and-in half the subjects-multidonor-class sequences were recovered from >40% of cross-reactive B cells. By contrast, these multidonor-class sequences were rare in published antibody datasets. Vaccination with a divergent hemagglutinin can thus increase the frequency of B cells encoding broad influenza A-neutralizing antibodies. We propose the sequence signature-quantified prevalence of these B cells as a metric to guide universal influenza A immunization strategies. Published by Elsevier Inc.Entities:
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Year: 2016 PMID: 27453470 PMCID: PMC4978566 DOI: 10.1016/j.cell.2016.06.043
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 41.582